120 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
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research expenses. Please direct queries to Professor Lisa Surwillo (surwillo@stanford.edu (link sends e-mail) ). Required Qualifications: Applicants must have received a PhD from an accredited university in
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are excited to learn about your research interests and how they might complement our ongoing efforts. If you are excited about combining synthetic biology and stem cell and developmental biology to tackle
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includes contributing to the establishment of a new central laboratory resource, offering these advanced genetic tools to broader research initiatives. Required Qualifications: PhD Required Application
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directly engage in course (re)development with faculty, as well as with Stanford’s Center for Teaching and Learning, preparing them for further opportunities as an educator in Bioengineering and related
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opening for a full-time postdoctoral fellow in the laboratory of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative projects in vision research. Our
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Posted on Thu, 03/20/2025 - 22:13 Important Info Deprecated / Faculty Sponsor (Last, First Name): Dirbas, Frederick MD Other Mentor(s) if Applicable: Billy Loo, MD, PhD, Ted Graves, PhD Stanford
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Qualifications: Applicants must have received a PhD from an accredited university in German Language and Literature, History, Religious Studies, Philosophy, or a related field before the appointment start date A
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will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and in other collaborating labs at Stanford to tackle emerging clinical questions in oncology
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, Stanford PRL), career development resources, and competitive benefits and salary commensurate with experience. Required Qualifications: PhD in physics, electrical engineering, mechanical engineering
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis